STATISTICAL TAGUCHI METHOD STUDY FOR GRAPHENE OXIDE-TITANIUM OXIDE (GO-TiO?) THIN FILM COATING ON GLASS SUBSTRATES USING THE SPIN COATING METHOD

Abstract

In this study, the process of coating graphene oxide-titanium oxide (GO-TiO2) composite thin films onto a glass substrate using the spin coating method was investigated using the Taguchi experimental design approach. The effects of parameters such as spin coating speed (SCR), spin coating time (SCT), dispersion amount (V), and glass substrate plasma treatment time (PLS T) on coating performance were evaluated, and the optimal coating conditions were determined. Signal-to-noise (S/N) ratios were calculated based on the equilibrium contact angles using the L16 orthogonal array experimental design. Stable and high pure water equilibrium contact angle (CA: θe) was identified as the criterion for successful coating. Characterization was performed using X-ray Diffraction (XRD), optical microscopy, Scanning Electron Microscopy (SEM), a four-point probe conductivity measurement device, and an optical contact angle measuring instrument. The optimal coating conditions were determined using the statistical Taguchi method with Pareto Analysis of Variance (Pareto ANOVA), and the effects of the control factors were analyzed. Additionally, regression analyses were conducted to assess the significance of the parameters and their alignment with the most influential factors. Validation experiments confirmed the success of the optimization.